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Here are the methods exposed by the OnlineStore
interface, along with the core functionality supported by the method:
online_write_batch
: write feature values to the online store
online_read
: read feature values from the online store
update
: update infrastructure (e.g. tables) in the online store
teardown
: teardown infrastructure (e.g. tables) in the online store
plan
: generate a plan of infrastructure changes based on feature repo changes
There is also additional functionality not properly captured by these interface methods:
support for on-demand transforms
readable by Python SDK
readable by Java
readable by Go
support for entityless feature views
support for concurrent writing to the same key
support for ttl (time to live) at retrieval
support for deleting expired data
Finally, there are multiple data models for storing the features in the online store. For example, features could be:
collocated by feature view
collocated by feature service
collocated by entity key
Below is a matrix indicating which online stores support what functionality.
The SQLite online store provides support for materializing feature values into an SQLite database for serving online features.
All feature values are stored in an on-disk SQLite database
Only the latest feature values are persisted
The full set of configuration options is available in SqliteOnlineStoreConfig.
The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the Sqlite online store.
Sqlite | |
---|---|
To compare this set of functionality against other online stores, please see the full functionality matrix.
Please see for an explanation of online stores.
See this for a discussion around the tradeoffs of each of these data models.
There are currently five core online store implementations: SqliteOnlineStore
, RedisOnlineStore
, DynamoDBOnlineStore
, SnowflakeOnlineStore
, and DatastoreOnlineStore
. There are several additional implementations contributed by the Feast community (PostgreSQLOnlineStore
, HbaseOnlineStore
, and CassandraOnlineStore
), which are not guaranteed to be stable or to match the functionality of the core implementations. Details for each specific online store, such as how to configure it in a feature_store.yaml
, can be found .
Sqlite | Redis | DynamoDB | Snowflake | Datastore | Postgres | Hbase | Cassandra |
---|
The full set of configuration options is available in .
The set of functionality supported by online stores is described in detail . Below is a matrix indicating which functionality is supported by the Postgres online store.
Postgres |
---|
To compare this set of functionality against other online stores, please see the full .
write feature values to the online store
yes
read feature values from the online store
yes
update infrastructure (e.g. tables) in the online store
yes
teardown infrastructure (e.g. tables) in the online store
yes
generate a plan of infrastructure changes
yes
support for on-demand transforms
yes
readable by Python SDK
yes
readable by Java
no
readable by Go
yes
support for entityless feature views
yes
support for concurrent writing to the same key
no
support for ttl (time to live) at retrieval
no
support for deleting expired data
no
collocated by feature view
yes
collocated by feature service
no
collocated by entity key
no
write feature values to the online store | yes | yes | yes | yes | yes | yes | yes | yes |
read feature values from the online store | yes | yes | yes | yes | yes | yes | yes | yes |
update infrastructure (e.g. tables) in the online store | yes | yes | yes | yes | yes | yes | yes | yes |
teardown infrastructure (e.g. tables) in the online store | yes | yes | yes | yes | yes | yes | yes | yes |
generate a plan of infrastructure changes | yes | no | no | no | no | no | no | yes |
support for on-demand transforms | yes | yes | yes | yes | yes | yes | yes | yes |
readable by Python SDK | yes | yes | yes | yes | yes | yes | yes | yes |
readable by Java | no | yes | no | no | no | no | no | no |
readable by Go | yes | yes | no | no | no | no | no | no |
support for entityless feature views | yes | yes | yes | yes | yes | yes | yes | yes |
support for concurrent writing to the same key | no | yes | no | no | no | no | no | no |
support for ttl (time to live) at retrieval | no | yes | no | no | no | no | no | no |
support for deleting expired data | no | yes | no | no | no | no | no | no |
collocated by feature view | yes | no | yes | yes | yes | yes | yes | yes |
collocated by feature service | no | no | no | no | no | no | no | no |
collocated by entity key | no | yes | no | no | no | no | no | no |
write feature values to the online store | yes |
read feature values from the online store | yes |
update infrastructure (e.g. tables) in the online store | yes |
teardown infrastructure (e.g. tables) in the online store | yes |
generate a plan of infrastructure changes | no |
support for on-demand transforms | yes |
readable by Python SDK | yes |
readable by Java | no |
readable by Go | no |
support for entityless feature views | yes |
support for concurrent writing to the same key | no |
support for ttl (time to live) at retrieval | no |
support for deleting expired data | no |
collocated by feature view | yes |
collocated by feature service | no |
collocated by entity key | no |
The [Cassandra / Astra DB] online store provides support for materializing feature values into an Apache Cassandra / Astra DB database for online features.
The whole project is contained within a Cassandra keyspace
Each feature view is mapped one-to-one to a specific Cassandra table
This implementation inherits all strengths of Cassandra such as high availability, fault-tolerance, and data distribution
An easy way to get started is the command feast init REPO_NAME -t cassandra
.
The full set of configuration options is available in CassandraOnlineStoreConfig. For a full explanation of configuration options please look at file sdk/python/feast/infra/online_stores/contrib/cassandra_online_store/README.md
.
Storage specifications can be found at docs/specs/online_store_format.md
.
The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the Cassandra online store.
To compare this set of functionality against other online stores, please see the full functionality matrix.
Cassandra | |
---|---|
write feature values to the online store
yes
read feature values from the online store
yes
update infrastructure (e.g. tables) in the online store
yes
teardown infrastructure (e.g. tables) in the online store
yes
generate a plan of infrastructure changes
yes
support for on-demand transforms
yes
readable by Python SDK
yes
readable by Java
no
readable by Go
no
support for entityless feature views
yes
support for concurrent writing to the same key
no
support for ttl (time to live) at retrieval
no
support for deleting expired data
no
collocated by feature view
yes
collocated by feature service
no
collocated by entity key
no
The Snowflake online store provides support for materializing feature values into a Snowflake Transient Table for serving online features.
Only the latest feature values are persisted
The data model for using a Snowflake Transient Table as an online store follows a tall format (one row per feature)):
"entity_feature_key" (BINARY) -- unique key used when reading specific feature_view x entity combination
"entity_key" (BINARY) -- repeated key currently unused for reading entity_combination
"feature_name" (VARCHAR)
"value" (BINARY)
"event_ts" (TIMESTAMP)
"created_ts" (TIMESTAMP)
(This model may be subject to change when Snowflake Hybrid Tables are released)
The full set of configuration options is available in SnowflakeOnlineStoreConfig.
The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the Snowflake online store.
To compare this set of functionality against other online stores, please see the full functionality matrix.
The Redis online store provides support for materializing feature values into Redis.
Both Redis and Redis Cluster are supported.
The data model used to store feature values in Redis is described in more detail here.
Connecting to a single Redis instance:
Connecting to a Redis Cluster with SSL enabled and password authentication:
The full set of configuration options is available in RedisOnlineStoreConfig.
The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the Redis online store.
To compare this set of functionality against other online stores, please see the full functionality matrix.
The Datastore online store provides support for materializing feature values into Cloud Datastore. The data model used to store feature values in Datastore is described in more detail here.
The full set of configuration options is available in DatastoreOnlineStoreConfig.
The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the Datastore online store.
Datastore | |
---|---|
To compare this set of functionality against other online stores, please see the full functionality matrix.
Snowflake | |
---|---|
Redis | |
---|---|
write feature values to the online store
yes
read feature values from the online store
yes
update infrastructure (e.g. tables) in the online store
yes
teardown infrastructure (e.g. tables) in the online store
yes
generate a plan of infrastructure changes
no
support for on-demand transforms
yes
readable by Python SDK
yes
readable by Java
no
readable by Go
no
support for entityless feature views
yes
support for concurrent writing to the same key
no
support for ttl (time to live) at retrieval
no
support for deleting expired data
no
collocated by feature view
yes
collocated by feature service
no
collocated by entity key
no
write feature values to the online store
yes
read feature values from the online store
yes
update infrastructure (e.g. tables) in the online store
yes
teardown infrastructure (e.g. tables) in the online store
yes
generate a plan of infrastructure changes
no
support for on-demand transforms
yes
readable by Python SDK
yes
readable by Java
no
readable by Go
no
support for entityless feature views
yes
support for concurrent writing to the same key
no
support for ttl (time to live) at retrieval
no
support for deleting expired data
no
collocated by feature view
yes
collocated by feature service
no
collocated by entity key
no
write feature values to the online store
yes
read feature values from the online store
yes
update infrastructure (e.g. tables) in the online store
yes
teardown infrastructure (e.g. tables) in the online store
yes
generate a plan of infrastructure changes
no
support for on-demand transforms
yes
readable by Python SDK
yes
readable by Java
yes
readable by Go
yes
support for entityless feature views
yes
support for concurrent writing to the same key
yes
support for ttl (time to live) at retrieval
yes
support for deleting expired data
yes
collocated by feature view
no
collocated by feature service
no
collocated by entity key
yes
The DynamoDB online store provides support for materializing feature values into AWS DynamoDB.
The full set of configuration options is available in DynamoDBOnlineStoreConfig.
Feast requires the following permissions in order to execute commands for DynamoDB online store:
The following inline policy can be used to grant Feast the necessary permissions:
Lastly, this IAM role needs to be associated with the desired Redshift cluster. Please follow the official AWS guide for the necessary steps here.
The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the DynamoDB online store.
To compare this set of functionality against other online stores, please see the full functionality matrix.
DynamoDB | |
---|---|
Command
Permissions
Resources
Apply
dynamodb:CreateTable
dynamodb:DescribeTable
dynamodb:DeleteTable
arn:aws:dynamodb:<region>:<account_id>:table/*
Materialize
dynamodb.BatchWriteItem
arn:aws:dynamodb:<region>:<account_id>:table/*
Get Online Features
dynamodb.BatchGetItem
arn:aws:dynamodb:<region>:<account_id>:table/*
write feature values to the online store
yes
read feature values from the online store
yes
update infrastructure (e.g. tables) in the online store
yes
teardown infrastructure (e.g. tables) in the online store
yes
generate a plan of infrastructure changes
no
support for on-demand transforms
yes
readable by Python SDK
yes
readable by Java
no
readable by Go
no
support for entityless feature views
yes
support for concurrent writing to the same key
no
support for ttl (time to live) at retrieval
no
support for deleting expired data
no
collocated by feature view
yes
collocated by feature service
no
collocated by entity key
no